Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Manchester
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- ; Newcastle University
- ; University of Nottingham
- ; University of Reading
- ; University of Warwick
- ; Cranfield University
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Southampton
- ; University of Bristol
- ; University of Leeds
- ; University of Surrey
- ; University of Sussex
- Harper Adams University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- University of Cambridge
- ; City St George’s, University of London
- ; Edge Hill University
- ; King's College London
- ; University of Sheffield
- ; Aston University
- ; Imperial College London
- ; Lancaster University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Plymouth
- UNIVERSITY OF VIENNA
- ; Coventry University Group
- ; Durham University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- ; University of Huddersfield
- ; University of Stirling
- ; University of Strathclyde
- Abertay University
- Nottingham Trent University
- University of East London
- University of Liverpool
- University of Sheffield
- 43 more »
- « less
-
Field
-
generated high-fidelity LES datasets. These datasets, produced under a parallel investigation, will provide detailed flow and temperature information for a geometry representative of a pebble-bed HTGR core
-
previous experience of successful partnership working with multiple stakeholders, alongside academic research experience, is essential. Details of funding The successful applicant will: Be awarded an annual
-
entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields
-
learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
-
that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
-
the title of the research project from this advert. You do not need to upload a research proposal. You must submit one application per studentship, you cannot apply for multiple studentships on one
-
type in the title of the research project from this advert. You do not need to upload a research proposal. You must submit one application per studentship, you cannot apply for multiple studentships
-
applicant will ideally have previous experience of successful partnership working with multiple stakeholders, alongside academic research experience and evidence translation, is essential. The successful
-
application per studentship, you cannot apply for multiple studentships on one application. Contact Details Dr Matthew Fisher matthew.fisher@newcastle.ac.uk. You can also contact: doctoral.awards@ncl.ac.uk
-
. You must submit one application per studentship, you cannot apply for multiple studentships on one application. Contact Details For enquiries, please contact Dr. Libing at libing.cao@ncl.ac.uk You can